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Fri Dec 02 06:20 AM -- 06:30 AM (PST) None
Opening Remarks
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 06:30 AM -- 07:00 AM (PST) None
Offline RL in the context of "Collect and Infer" (Martin Riedmiller)
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 07:00 AM -- 07:10 AM (PST) None
Efficient Planning in a Compact Latent Action Space
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 07:10 AM -- 07:20 AM (PST) None
Control Graph as Unified IO for Morphology-Task Generalization
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 07:20 AM -- 07:30 AM (PST) None
Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 07:35 AM -- 08:05 AM (PST) None
AV2.0: Learning to Drive at a Global Scale (Alex Kendall)
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 08:05 AM -- 09:10 AM (PST) None
Poster Session 1
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 09:10 AM -- 09:40 AM (PST) None
Learning from Suboptimal Demonstrations with No Rewards (Dorsa Sadigh)
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 09:40 AM -- 10:30 AM (PST) None
Break
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 10:45 AM -- 11:30 AM (PST) None
Panel Discussion 1 - Applications
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 11:30 AM -- 11:40 AM (PST) None
Choreographer: Learning and Adapting Skills in Imagination
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 11:40 AM -- 11:50 AM (PST) None
Provable Benefits of Representational Transfer in Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 11:50 AM -- 12:00 PM (PST) None
Pareto-Efficient Decision Agents for Offline Multi-Objective Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 12:00 PM -- 01:00 PM (PST) None
Poster Session 2
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 01:00 PM -- 01:30 PM (PST) None
Reinforcement Learning and LTV at Spotify (Tony Jebara)
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 01:30 PM -- 02:00 PM (PST) None
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient (Wen Sun)
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 02:00 PM -- 03:00 PM (PST) None
Panel Discussion 2 - Research
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fri Dec 02 03:00 PM -- 03:30 PM (PST) None
Identification of Dead-ends in Safety-Critical Offline RL (Talyor Killian)
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
None
Train Offline, Test Online: A Real Robot Learning Benchmark
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta
None
Choreographer: Learning and Adapting Skills in Imagination
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt · Alexandre Lacoste · Sai Rajeswar Mudumba
None
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based RL
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
David Brandfonbrener · Stephen Tu · Avi Singh · Stefan Welker · Chad Boodoo · Nikolai Matni · Jake Varley
None
Mutual Information Regularized Offline Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Xiao Ma · Bingyi Kang · Zhongwen Xu · Min Lin · Shuicheng Yan
None
Raisin: Residual Algorithms for Versatile Offline Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Braham Snyder · Yuke Zhu
None
Domain Generalization for Robust Model-Based Offline RL
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Alan Clark · Shoaib Siddiqui · Robert Kirk · Usman Anwar · Stephen Chung · David Krueger
None
Squeezing more value out of your historical data: data-augmented behavioural cloning as launchpad for reinforcement learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Charles Hepburn · Giovanni Montana
None
Keep Calm and Carry Offline: Policy refinement in offline reinforcement learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Alex Beeson · Giovanni Montana
None
Bayesian Q-learning With Imperfect Expert Demonstrations
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Fengdi Che · Xiru Zhu · Doina Precup · David Meger · Gregory Dudek
None
CORL: Research-oriented Deep Offline Reinforcement Learning Library
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Denis Tarasov · Alexander Nikulin · Dmitry Akimov · Vladislav Kurenkov · Sergey Kolesnikov
None
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Alexander Nikulin · Vladislav Kurenkov · Denis Tarasov · Dmitry Akimov · Sergey Kolesnikov
None
User-Interactive Offline Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Phillip Swazinna · Steffen Udluft · Thomas Runkler
None
Optimal Transport for Offline Imitation Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Yicheng Luo · zhengyao Jiang · Samuel Cohen · Edward Grefenstette · Marc Deisenroth
None
Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Jason Yecheng Ma · Shagun Sodhani · Dinesh Jayaraman · Osbert Bastani · Vikash Kumar · Amy Zhang
None
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
None
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Joey Hong · Aviral Kumar · Sergey Levine
None
Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine
None
Guiding Offline Reinforcement Learning Using a Safety Expert
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Richa Verma · Kartik Bharadwaj · Harshad Khadilkar · Balaraman Ravindran
None
Revisiting Bellman Errors for Offline Model Selection
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Joshua Zitovsky · Rishabh Agarwal · Daniel de Marchi · Michael Kosorok
None
Boosting Offline Reinforcement Learning via Data Resampling
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Yang Yue · Bingyi Kang · Xiao Ma · Zhongwen Xu · Gao Huang · Shuicheng Yan
None
On- and Offline Multi-agent Reinforcement Learning for Disease Mitigation using Human Mobility Data
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Sofia Hurtado · Radu Marculescu
None
Contrastive Example-Based Control
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Kyle Hatch · Sarthak J Shetty · Benjamin Eysenbach · Tianhe Yu · Rafael Rafailov · Russ Salakhutdinov · Sergey Levine · Chelsea Finn
None
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Sunil Madhow · Dan Qiao · Yu-Xiang Wang
None
Collaborative symmetricity exploitation for offline learning of hardware design solver
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
HAEYEON KIM · Minsu Kim · joungho kim · Jinkyoo Park
None
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
None
Trajectory-based Explainability Framework for Offline RL
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Shripad Deshmukh · Arpan Dasgupta · Chirag Agarwal · Nan Jiang · Balaji Krishnamurthy · Georgios Theocharous · Jayakumar Subramanian
None
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Eddy Hudson · Ishan Durugkar · Garrett Warnell · Peter Stone
None
Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Changyeon Kim · Junsu Kim · Younggyo Seo · Kimin Lee · Honglak Lee · Jinwoo Shin
None
Hybrid RL: Using both offline and online data can make RL efficient
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Yuda Song · Yifei Zhou · Ayush Sekhari · J. Bagnell · Akshay Krishnamurthy · Wen Sun
None
Efficient Planning in a Compact Latent Action Space
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
zhengyao Jiang · Tianjun Zhang · Michael Janner · Yueying (Lisa) Li · Tim Rocktäschel · Edward Grefenstette · Yuandong Tian
None
Does Zero-Shot Reinforcement Learning Exist?
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Ahmed Touati · Jérémy Rapin · Yann Ollivier
None
State Advantage Weighting for Offline RL
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Jiafei Lyu · aicheng Gong · Le Wan · Zongqing Lu · Xiu Li
None
Control Graph as Unified IO for Morphology-Task Generalization
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Hiroki Furuta · Yusuke Iwasawa · Yutaka Matsuo · Shixiang (Shane) Gu
None
Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Ingook Jang · Seonghyun Kim
None
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Ashish Kumar · Ilya Kuzovkin
None
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Dan Qiao · Yu-Xiang Wang
None
Imitation from Observation With Bootstrapped Contrastive Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Medric Sonwa · Johanna Hansen · Eugene Belilovsky
None
A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Benjamin Eysenbach · Matthieu Geist · Sergey Levine · Russ Salakhutdinov
None
Offline evaluation in RL: soft stability weighting to combine fitted Q-learning and model-based methods
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Briton Park · Xian Wu · Bin Yu · Angela Zhou
None
Using Confounded Data in Offline RL
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Maxime Gasse · Damien GRASSET · Guillaume Gaudron · Pierre-Yves Oudeyer
None
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Brahma Pavse · Josiah Hanna
None
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Soysal Degirmenci · Christopher S Jones
None
Sparse Q-Learning: Offline Reinforcement Learning with Implicit Value Regularization
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Haoran Xu · Li Jiang · Li Jianxiong · Zhuoran Yang · Zhaoran Wang · Xianyuan Zhan
None
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Riashat Islam · Manan Tomar · Alex Lamb · Hongyu Zang · Yonathan Efroni · Dipendra Misra · Aniket Didolkar · Xin Li · Harm Van Seijen · Remi Tachet des Combes · John Langford
None
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc Bellemare
None
Offline Policy Comparison with Confidence: Benchmarks and Baselines
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Anurag Koul · Mariano Phielipp · Alan Fern
None
SPRINT: Scalable Semantic Policy Pre-training via Language Instruction Relabeling
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Jesse Zhang · Karl Pertsch · Jiahui Zhang · Taewook Nam · Sung Ju Hwang · Xiang Ren · Joseph Lim
None
Balanced Off-Policy Evaluation for Personalized Pricing
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Adam N. Elmachtoub · Vishal Gupta · YUNFAN ZHAO
None
Offline Reinforcement Learning on Real Robot with Realistic Data Sources
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Gaoyue Zhou · Liyiming Ke · Siddhartha Srinivasa · Abhinav Gupta · Aravind Rajeswaran · Vikash Kumar
None
Matrix Estimation for Offline Evaluation in Reinforcement Learning with Low-Rank Structure
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Xumei Xi · Christina Yu · Yudong Chen
None
Offline Reinforcement Learning for Customizable Visual Navigation
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Dhruv Shah · Arjun Bhorkar · Hrishit Leen · Ilya Kostrikov · Nicholas Rhinehart · Sergey Levine
None
Provable Benefits of Representational Transfer in Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Alekh Agarwal · Yuda Song · Kaiwen Wang · Mengdi Wang · Wen Sun · Xuezhou Zhang
None
Towards Data-Driven Offline Simulations for Online Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Shengpu Tang · Felipe Vieira Frujeri · Dipendra Misra · Alex Lamb · John Langford · Paul Mineiro · Sebastian Kochman
None
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Dmitry Akimov · Alexander Nikulin · Vladislav Kurenkov · Denis Tarasov · Sergey Kolesnikov
None
Pareto-Efficient Decision Agents for Offline Multi-Objective Reinforcement Learning
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Baiting Zhu · Meihua Dang · Aditya Grover
None
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Jiachen Li · Edwin Zhang · Ming Yin · Qinxun Bai · Yu-Xiang Wang · William Yang Wang
None
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Shivakanth Sujit · Pedro Braga · Jörg Bornschein · Samira Ebrahimi Kahou
None
Residual Model-Based Reinforcement Learning for Physical Dynamics
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Zakariae EL ASRI · Clément Rambour · Vincent LE GUEN · Nicolas THOME
None
AMORE: A Model-based Framework for Improving Arbitrary Baseline Policies with Offline Data
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Tengyang Xie · Mohak Bhardwaj · Nan Jiang · Ching-An Cheng
None
General policy mapping: online continual reinforcement learning inspired on the insect brain
In 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad"
Angel Yanguas-Gil · Sandeep Madireddy